Co-occurring keywords · papers mentioning both
reinforcement learning
(36)
multi-agent reinforcement learning
(20)
multi-agent system
(17)
deep reinforcement learning
(13)
partially observable markov decision process
(9)
markov decision process
(9)
policy learning
(7)
partially observable environment
(6)
graph neural network
(6)
imitation learning
(6)
Papers
QMDP-Net: Deep Learning for Planning under Partial Observability
NeurIPS 2017
Control of Memory, Active Perception, and Action in Minecraft
ICML 2016
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
NeurIPS 2016
Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems
AISTATS 2015
Efficient learning by implicit exploration in bandit problems with side observations
NeurIPS 2014
Average Reward Optimization Objective In Partially Observable Domains
ICML 2013
From Bandits to Experts: A Tale of Domination and Independence
NeurIPS 2013
Modelling Sparse Dynamical Systems with Compressed Predictive State Representations
ICML 2013
Q-learning for history-based reinforcement learning
ACML 2013
Inverse Reinforcement Learning in Partially Observable Environments
JMLR 2011
Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability
NeurIPS 2009
Automated Hierarchy Discovery for Planning in Partially Observable Environments
NeurIPS 2006